Epstein Institute Seminar Series

8/26 Introduction - Dr. Phebe Vayanos, University of Southern California

9/2 Dr. Aaron Sidford, Stanford University, The Complexity of Solving Matrix Games

9/9 Dr. Adel Javanmard, University of Southern California, Model Self-Improvement via Optimal Retraining

9/16 Dr. Milind Tambe, Harvard University. Optimizing Social Impact: Field Deployments, Bandit Algorithms, and the Role of LLM Agents

9/23 Dr. Alper Atamurk, University of California - Berkeley, Multi-Period Mixed-Integer Quadratic Programming

9/30 Dr. Karthyek Murthy, University of Southern California

10/7 Dr. Lai Tian, University of Southern California (Post-Doc), Approximating Rockafellians Mitigate Distributional Perturbations

10/14 Dr. Velibor Misic, University of California - Los Angeles, Randomized Policy Optimization for Optimal Stopping

10/21 Dr. Karmel Shehadeh, University of Southern California, Decision-Driven Data Analytics for Digital Twinning in Industrial Systems

10/28 NO SEMINAR - INFORMS

11/4 Dr. Erik Carlsson, University California - Davis, Optimal Transport Methods in Topology and Data

11/11 NO SEMINAR

11/18 Dr. Thibaut Mastrolia, University of California - Berkeley, Regulation or Competition: Major-Minor Optimal Liquidation Across Dark and Lit Pools

11/25 NO SEMINAR - THANKSGIVING WEEK

12/2 Dr. Angela Zhou, University of Southern California, Confounding-Robust Fitted-Q-Iteration under Observed Markovian Marginals

1/13  Jinwen Yang,  PhD Candidate - University of Chicago, GPU-Accelerated Linear Programming and Beyond

1/20 Roshni Sahoo, PhD Candidate -  Stanford University, What Would it Cost to End Extreme Poverty?

1/27 Brian Liu, PhD Candidate - MIT, Frontiers and Applications at the Interface of Discrete Optimization and Interpretable Machine Learning

2/3 Connor Lawless, Postdoctoral Fellow at the Stanford Institute, Bridging Machine Learning and Optimization for Human-Centered AI

2/10 Dr. Zijun Gao, University of Southern California, Causal Partial Identification via Optimal Transport

2/17 Dr. Xiaochen Xian, Georgia Tech University, Adaptive Sampling for Anomaly Detection: From Operational Decision-Making to Strategic System Design

2/24 Dr. Ruolin Li, University of Southern California, Harnessing Autonomous Vehicles for Smarter Traffic Management

3/3 Dr. Jay Lee, University of Southern California, Role of Systems Engineering in Decarbonization and Energy Transition

3/10 Dr. Ketan Savla, University of Southern California, LLM (Lifting, Learning, and Masking) for Optimal Control

3/18 NO SEMINAR - SPRING BREAK

3/24 Dr. Mohsen A. Jafari, Rutgers University, Active Inferencing and Predictive Reasoning in Decision Making and Control

3/31 Dr. Erik Carlsson, University of California - Davis, Optimal Transport Methods in Topology and Data

4/7 Dr. Shinyi Wu, University of Southern California, Designing Care Systems for Equity: Applying ISE to Health Services for Vulnerable Populations

4/14 Dr. Mahdi Soltanolkotabi, University of Southern California, When Both Layers Learn: Gradient Descent Dynamics for Learning Simple RELU Networks

4/21 Dr. Mingdong Lyu, Amazon, Analytics at Scale: Optimization and Forecasting in Complex Service Systems

4/28 Dr. Andrew Daw, University of Southern California, Stopping Self-Excitement

8/27 Introduction - Dr. Qiang Huang, University of Southern California

9/3 Dr. Yao Xie, Georgia Tech University, Connecting the Dots: Learning Point Processes via Monotone Variational Inequalities

9/10 Dr. Brad Sturt, University of Illinois, Improving the Security of United States Elections with Robust Optimization

9/17 Dr. Damek Shea David, Cornell University, Nonconvex Optimization for Statistical Estimation and Learning Beyond Smoothness and Convexity 

9/24 Dr. Jose H. Blanchet, Stanford University, Highly Parameterized Controls and Fusion of Generative Diffusions

10/1 Dr. Joao P. Hespanha, University of California, Santa Barbara, Koopman Operator, Entity-Based Systems, and Video games

10/8 Dr. Zvi Galil, Columbia University, Georgia Tech's Revolutionary Online Program and the Future of Online Learning in High Ed

10/15 Dr. Szu Hui Ng, University of Singapore, Dynamic Simulation Optimization of Chlorine Dosage in Drinking Water Distribution Systems

10/22 NO SEMINAR - INFORMS

10/29 Dr. Yunhe Hou, University of Hong Kong, Building Sustainable and Resilient Energy Systems: Challenges and Current Progress

11/5 Dr. Hongsheng Zhong, United Parcel Service (UPS), Optimizing Global Logistics: Advanced Operations Research and Analytics at UPS

11/12 Dr. Jeff Shamma, University of Illinois, Multi-Agent Higher-Order Learning vs Nash Equilibrium

11/19 Dr. Fatma Kilinc-Karzan, Carnegie Mellon University, Mistake, Manipulation, and Margin Guarantees in Online Strategic Classification

11/26 NO SEMINAR - THANKSGIVING WEEK

12/3 Dr. Lu Lu, Yale University, Physics-Informed Deep Learning: Blending Data and Physics for Learning Functions and Operators

1/14 Introduction - Dr. Qiang Huang. University of Southern California

1/21 Dr. Salar Fattahi, University of Michigan, Finding the Needle in the Haystack: How Gradient Descent Converges to the Correct Solution in the Face of Many Local Minima

1/28 Dr. Neeraj Sood, University of Southern California, Using Modeling to Influence Public Policy & What Drives Inappropriate Prescribing of Antibiotics in India

2/4 Dr. Xiao Zang, University of Minnesota, Engineering Better Health: From Industrial and Systems Engineering to Health Decision Modeling

2/11 Dr. Jun Zhuang, University of Buffalo, Game Theory, Data Analtics, and Disaster Management

2/18 Dr. Peter Frazier, Cornell University, Bayesian Preference Learning for Democratizing Optimization

2/25 Dr. Julia Yan, University of British Columbia, Pricing Shared Rides

3/4 Dr. Roulin Li, University of Southern California, Harnessing Autonomous Vehicles for Smarter Traffic Management

3/11 Dr. James Kong, Virginia Tech University, Sensing and Data Analytics for Smart Additive Manufacturing

3/18 NO SEMINAR - SPRING BREAK

3/25 Dr. Brandon Augustino, MIT, The Quantum Central Path Method

4/1 Dr. Suvrajeet Sen, University of Southern California, Navigating a Research Career in ISE: Exploring Paths Less Trodden

4/8 Dr. Nabeel Gilliani, Northeastern University, Community-Driven, Machine-Informed Redistricting to Foster More Socioeconomically Diverse Schools

4/15 Dr. Mihai Anitescu, University of Chicago, Exponential Decay of Sensitivity in Graph-Indexed Optimization Problems, such as Control, and Distribution Optimization

4/22 Dr. Erim Kardes, Walmart, Encountering Challenges in the Marketing Budget Allocation in Online Retail

4/29 Dr. Minhee Kim, University of Florida, Challenges of Digital Twins

8/22 Introduction - Dr. Yigal Arens, University of Southern California

8/29 Dr. Joseph Nuamah, Oklahoma State University, Improving Human-System Interaction via Wearable Physiological Monitoring

9/5 Dr. Victor Zavala, University of Wisconsin, Graph-Structured Optimization: Properties, Algorithms, and Software

9/12 Dr. Afrooz Jalilzadeh, The University of Arizona, Stochastic Approximation Methods for Solving Stochastic Nash Equilibrium Problems 

9/19 Dr. Zeyu Zheng, University of California - Berkeley, Non-Stationary A/B Tests

9/26 Dr. Robert Schuler, University of Southern California, Schema Evolution for Scientific Asset Management

10/3 Dr. Gerard Cornuejols, Carnegie Mellon, Dyadic Linear Programming

10/10 Dr. Narayan Rangaraj, Indian Institute of Technology Bombay, Operations Planning in Long Distance and Metro Rail Systems

10/17 NO SEMINAR - INFORMS

10/24 Dr. Stefan Wild, Lawrence Berkeley National Laboratory, Optimization and Learning with Zeroth-Order Stochastic Oracles

10/31 Dr. Haihao Lu, Massachusetts Institute of Technology, Scale Up Constrained Continuous Optimization with First-Order Methods

11/7 Dr. Esteban Moro, Universidad Carlos III Spain, Understanding Urban Social Resilience Through Behavioral Mobility Data

11/14 Dr. Chai Keong Toh, University of California - Berkeley, Smart Cities: Design & Research

11/16 RECHTIN Lecture: Mark Daskin, Emeritus Collegiate Professorship, University of Michigan, Core Principles of Operations Management

11/21 NO SEMINAR - THANKSGIVING WEEK

11/28 Dr. Paul Grigas, University of California - Berkeley, A Margin Theory for Contextual Stochastic Linear Optimization: From Generalization to Active Learning

1/16 Introduction - Dr. Yigal Arens, University of Southern California

1/23 Dr. Satish Kumar Thittamaranahalli, University of Southern California, Revisiting FastMap: New Applications

1/30 Dr. David E. Bernal Neira, Purdue University, Discrete Nonlinear Optimization: Modeling and Solutions via Novel Hardware and Decomposition Algorithms

2/6 NO SEMINAR

2/13 Dr. Yale Herer, Technion Israel Institute of Technology, An Asymptotic Perspective on Risk Pooling: Limitations and Relationship to Transshipments

2/20 Dr. Jay Lee, University of Southern California, Role of Process Systems Engineering in Decarbonization and Energy Transition

2/27 Dr. Xiaolei Fang, North Carolina State University, High-Dimensional Data Analytics for System Condition Monitoring and Performance Improvement

3/5  Dr. Jing Dong, Columbia Business School, Stochastic Gradient Descent with Adaptive Data

3/12 NO SEMINAR - SPRING BREAK

3/19 Dr. Gökçe Dayanikli, University of Illinois Urbana-Champaign, Finding Optimal Policies for Large Populations: An Application to Epidemic Control

3/26 Dr. Xuan Song, Iowa Technology Institute, Toward Mild Additive Manufacturing for Extremes

4/2 Dr. Reha Uzsoy, National Science Foundation, Funding Perspectives from The National Science Foundation

4/9 Dr. Zijun Gao, University of Southern California-Marshall School of Business, Selective Randomization Inference for Adaptive Studies

4/16 Dr. Madeleine Udell, Stanford University, AI and the Future of Optimization Modeling

4/23 Dr. Aida Khajavirad, Lehigh University, Binary Polynomal Optimization through a Hypergraph Theoretic Lens

8/23 Introduction - Dr. Suvrajeet Sen, University of Southern California

8/30 Dr. Sven Koenig, University of Southern California, Multi-Agent Path Finding and Its Applications

9/6 Dr. Kimon Drakopoulos, University of Southern California, Efficient and Targeted COVID-19 Border Testing Via Reinforcement Learning

9/13 Dr. Roshan Joseph, Georgia Tech University, Space-Filling Points

9/20 Dr. Krishna Rajan, University of Buffalo, Mapping Information Connectivity in Materials Science

9/27 Dr. Katya Scheinberg, Cornell University, Overview of Adaptive Optimization Methods for Stochastic Oracles

10/4 Dr. Hanzhang Qin, Amazon, A New Approach for Vehicle Routing and Stochastic Demand: Combining Route Assignment with Process Flexibility

10/11 Dr. Krishnakumar Balasubramanian, University of California - Davis, High-dimensional Inference with Stochastic Approximation Algorithms

10/18 NO SEMINAR - INFORMS

10/25 Dr. Simge Kucukyavuz, Northwestern University, Generalized Submodular Optimization

11/1  MOVED TO 11/3 for Rechtin Lecture

11/8 Dr. Jose Blanchet, Stanford University, Optimal Transport and Distributionally Robust Optimization

11/15 Dr. Robert Hildebrand, Virginia Tech University, Redistricting, Gerrymandering, and Mixed Integer Nonlinear Programming

11/22 NO SEMINAR - THANKSGIVING WEEK

11/29 Dr. Johannes Royset, Naval Post Graduate School, Relax! The Case for Rockafellian Relaxation in Stochastic Optimization and Learning

1/10 Introduction - Dr. Suvrajeet Sen, University of Southern California

1/17 Dr. Nian Si, University of Chicago, Distributionally Robust Policy Learning

1/24 Dr. Xiao Liu, University of Arkansas, Domain-Aware Statistical Learning-Harnessing the Convergence of Engineering Knowledge and Data-Driven Methods

1/31 Dr. Krishna Balasubramanian, University California-Davis, Stochastic Compositional Optimization for Machine Learning

2/2 Special Guest - Dr. Alejandro Toriello, Georgia Tech University, Submodular Dispatching

2/7 Dr. Santanu Dey, Georgia Tech University, Theoretical and Computational Analysis of Sizes of Branch-and-Bound Trees

2/14 Dr. Alice E. Smith, Auburn University, Innovative Uses of Drones for Last Mile Delivery with a Focus on Healthcare

2/21 Dr. Coralia Cartis, University of Oxford, Dimensionality Reduction Techniques for Nonconvex Optimization

2/28 Dr. Abigail Horn, University of Southern California, Tracing the Source of Large-Scale Outbreaks of Foodborne Contamination Across Complex Food Supply Networks

3/7 Dr. Abdullah Alibrahim, Kuwait University, Systems Engineering in Global Health: An Agent-Based Approach to Understand P4P in Maternal and Child Health in Tanzania

3/14 NO SEMINAR  - SPRING BREAK

3/21 Dr. Brian Denton, University of Michigan, Optimization in the Presence of Model Ambiguity in Markov Decision Processes

3/28 Dr. Gino Lim, University of Houston, A Chance Constrained Programming Framework to Handle Uncertainties in Radiation Therapy Treatment Planning

4/4 Dr. Yuri Faenza, Columbia University, Stable Matchings in Choice Function Models: Theory and Applications to School Choice

4/11 Dr. Alexandre Jacquillat, Massachusetts University of Technology, Optimizing Relay Operations Toward Sustainable Logistics

4/18 Dr. Randolph Hall, University of Southern California, Data Informed Mitigation to Reduce the Health Consequences of Pandemics

4/25 Dr. Dinakar Gade, Xpress Optimization, Recent Trends and Evolution in Optimization Solvers

8/24 Introduction - Yigal Arens, University of Southern California

8/31 Dr. Amelia Regan, University of California- Irvine, Warehouse Automation and Optimization: Motivating Advances in Large Scale Integer Programming

9/7 Dr. Yayue Pan, University of Illinois at Chicago, Multi-Functional Additive Manufacturing of Smart Materials and Devices

9/14 Dr. Stephen Wright, University of Wisconsin-Madison, The Role of Complexity Bounds in Optimization

9/21 Dr. David Woodruff, University of California- Davis, Computing Bounds and Confidence Intervals for Stochastic Programs

9/28 Dr. David Simchi-Levi, MIT Data Science Lab, Statistical Learning in Operations Management

10/5 Dr. Amy Ward, Chicago Booth, Behavior-Aware Queueing: The Finite Buffer Setting with Many Strategic Services

10/12 NO SEMINAR

10/19 Dr. Jorge Nocedal, Northwestern University, Constrained Optimization in the Presence of Noise

10/26 NO SEMINAR - INFORMS

11/2 Dr. Dmitriy Drusvyatskiy, University of Washington, Stochastic Optimization under Distributional Shifts

11/9 Dr. Lin Xiao, Facebook AI Research (FAIR), Fast Convergence of Exact Policy Gradient Methods

11/16 Dr. Elise Miller-Hooks, George Mason University, Civil Infrastructure Systems Resilience: Models and Algorithms

11/23 NO SEMINAR

11/30 Dr. Xunyu Zhou, Columbia University, Policy Evaluation, Policy Gradient, and Actor-Critic Learning in Continuous Time and Space: Theory and Algorithms

1/11 Dr. Philip Ernst, Rice University, Yule's "Nonsense Correlation" and New Frontiers in Statistical Inference for Stochastic Processes

1/18 Dr. Eunhye Song, Penn State University, Selection of the Most Probable Best"

1/25 Ryan Cory-Wright, Massachusetts Institute of Technology, "Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints"

2/1

2/8 No Seminar

2/15 Dr. Edward Kaplan, Yale School of Management, "COVID-19 Scratch Models to Support Local Decisions"

2/22 Dr. M. Ravi Shankar, University of Pittsburgh, "Molecular Patterning Directs Morphing and Motility in Liquid Crystalline Polymers”

3/1 Dr. Albert Shih, University of Michigan, "Direct Ink Writing Additive Manufacturing of Polydimethylsiloxane (PDMS): Model-based Toolpath Control and Applications in Soft Sensors and Actuators"

3/8 Dr. Adam Elmachtoub, Columbia University, "Contextual Optimization: Bridging Machine Learning and Operations"

3/15 No Seminar - Spring Break

3/22 Alain Rossier, University of Oxford PhD Student, "Asymptotic Analysis of Deep Residual Networks"

3/29 Dr. Ignacio E. Grossmann, Carnegie Mellon, "Global Optimization of Nonconvex Nonlinear Generalized Disjunctive Programs"

4/5 Dr. Timothy C.Y. Chan, University of Toronto, "An Inverse Optimization Approach to Measuring Clinical Pathway Concordance"

4/12 Dr. Daniel Apley, Northwestern University, "Interpreting Black-Box Supervised Learning Models via Accumulate Local Effects"

4/19 Dr. Ermin Wei, Northwestern University, "Flexible and Faithful Federated Learning Methods"

4/26 Dr. Carolyn Conner Seepersad, University of Texas - Austin,  "Additive Manufacturing and Design Innovation: Challenges and Opportunities"

8/25 Introduction - Suvrajeet Sen, University of Southern California

9/1 Victoria Stodden,  University of Southern California, Two Projects for Advancing Scientific Reliability in Complex Computational and Human Systems

9/8 Renyuan Xu, University of Southern California, Multi-Agent Reinforcement Learning: A Mean-field Perspective

9/15 Sze-Chuan Suen, University of Southern California, Incentivizing Adherence for Treatment of Infectious Diseases

9/22 Maged Dessouky, University of Southern California, Cost-Sharing Transportation Systems

9/29 Carl Kesselman, University of Southern California. Data and the Brain

10/6 Phebe Vayanos, University of Southern California, AI and Optimization for Social Good

10/13 Mayank Kejriwal, University of Southern California, Knowledge Graphs and COVID-19: An Overview

10/20 Adel Javanmard, University of Southern California, Dynamic Incentive-aware Learning: Robust Pricing in Contextual Auctions

10/27 Satish Kumar Thittamaranahalli, University of Southern California

11/3 Pitu Mirchandani, Arizona State University, Managing Hurricane Evacuatin with Stochastic Dynamic Networks

11/10 NO SEMINAR

11/17 Siqian Shen, University of Michigan - Ann Arbor, Multistage Distributionally Robust Mixed-Integer Programming with Decision-Dependent Moment-Based Ambiguity Sets

11/24 NO SEMINAR

1/19 Introduction - Jong-Shi Pang, University of Southern California

1/26 Nick Meisel, Penn State, Made by Design: Rethinking Design in the Age of Additive Manufacturing

2/2 Giulia Pedrielli, Arizona State University, Black Box Optimization in the Era of Intelligent Cyber Physical Systems

2/9 Jeff Ban, University of Washington, Macroscopic Dynamic Traffic Network Control with Drivers' Route Choice Behavior

2/16 George Lan, Georgia Institute of Technology, Advancing Stochastic Optimization for Reinforcement Learning

2/23 Yu Ding, Texas A&M University, Data Science for Wind Energy: Power Curve Modeling and Production Performance Analysis

3/2 Meisam Razaviyayn, University of Southern California, Does Your Training Data Violate My Privacy? A Near-Optimal Model Discrimination Method with Non-Disclosure

3/9 Junyi Liu, University of Southern California (Post-Doctoral Associate), Nonconvex and Nonsmooth Stochastic Optimization with Modern Applications

3/16 Suvrajeet Sen, University of Southern California, Persistent Issues in Stochastic Optimization/Programming - A Disconnect!

3/23 NO SEMINAR

3/30 Roger Ghanem, University of Southern California, Physics, Structure, and Uncertainty: Probabilistic Learning for Risk Mitigation

4/6 Andres Gomez, University of Southern California, Convexification of Constrained Nonlinear Optimization Problems with Indicator Variables

4/13 Enrique Mallada, The Johns Hopkins University, Incentive Analysis and Coordination Design for Multi-Timescale Electricity Markets

4/20 Urbashi (Ubli) Mitra, University of Southern California, Active Hypothesis Testing for Fast Decision Making with Applications to SARS-CoV-2 Testing

4/27 Pavlo Krokhmal, University of Arizona, On Risk Optimization in Networks and Discrete Systems

9/3 Vishal Gupta, University of Southern California
Data-Pooling in Optimization

9/10 Alaa Elwany, Texas A&M University
4.5D Printing: The Science of Producing Parts with Location-Specific Properties

9/24 Xianfeng (David) Gu, Stony Brook University
Geometric View of Optimal Transportation and Generative Adversarial Networks (GANs)

10/1 Lei Zuo, Virginia Tech
Energy Harvesting: From Self-Powered Sensing and Control to Blue Energy and Advanced Manufacturing

10/8 Dmitrii Ostrovskii, University of Southern California (Postdoctoral Scholar)
On Fast Rates In Empirical Risk Minimization Beyond Least-Squares

10/15 Golbon Zakeri, University of Massachusetts, Amherst
Pricing Intermittent Renewal Generation Using Stochastic Flexi-Actions

10/24 Ahti Salo, The Humans of Aalto University
Decision Programming for Optimizing Multi-Stage Decision Problems Under Uncertainty

10/29 Kristian Martinsen, Norwegian University of Science & Technology
Closed Loop Tolerance Engineering Modeling and Maturity Assessment in a Circular Economy Perspective

11/5 Archis Ghate, University of Washington, Seattle
Optimal Fractionation in Radiotherapy

11/12 Yong Huang, University of Florida
BioPrinting: Implementation, Process Dynamics, and Process-Induced Cell Injury

11/19 Michael Wagner, University of Washington
Profit Estimation Error in the Newsvendor Model

12/3 Pablo Durango-Cohen, Northwestern University
Leveraging Analytics to Monitor and Manage Transportation Infrastructure

1/21 Güzin Bayraksan, Ohio State University
A Multistate Distributionally Robust Optimization Approach to Water Allocation under Climate Uncertainty

1/28 Joe Qin, University of Southern California
Energy Harvesting: From Self-Powered Sensing and Control to Blue Energy and Advanced Manufacturing

2/4 Eberhardt Rechtin Lecture
David Westfall Bates, Harvard University
Collaboration Between Engineering and Healthcare: Results from the BWH Patient-Safety Learning Laboratory Studies

2/11 Zhijian (ZJ) Pei, Texas A&M University,
Ceramic Binder Jetting Additive Manufacturing: Three Methods to Increase Density

2/18 Dennis Kon-jin Lin, The Pennsylvania State University
Order-of-Addition Experiments: Design and Analysis

2/25 Daniel Kuhn, École Polytechnique Fédérale de Lausanne
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning

3/3

3/10 Satish Kumar Thittamaranahalli, University of Southern California Compiling Weighted Constraint Satisfaction Problems to Minimum Weighted Vertex Cover Problems

3/17 NO SEMINAR-Spring Break

3/24 NO SEMINAR DUE TO COVID

3/31 NO SEMINAR DUE TO COVID

4/7 NO SEMINAR DUE TO COVID

4/14 NO SEMINAR DUE TO COVID

4/21 NO SEMINAR DUE TO COVID

4/28 NO SEMINAR DUE TO COVID

8/28 Suvrajeet Sen, University of Southern California
Learning Enabled Optimization (LEO)

9/6 Bistra Dilkina, University of Southern California
Machine Learning Helps Discrete Optimization

9/10 Mayank Kejriwal, University of Southern California
Intelligent Systems for Investigative Decision Support

9/18 Binil Starly, North Carolina State University
The Convergence of Connected Machines, Deep Learning Blockchain Technologies for Driving Manufacturing-as-a-Service (MaaS) Platforms

9/25 Yuxin Chen, Princeton University
Random Initialization and Implicit Regularization in Nonconvex Statistical Estimation

10/2 Ying Cui, University of Southern California

10/10 Pinar Keskinocak, Georgia Tech University
Quantitative Models for Decision-support in Healthcare Applications

10/16 Andrzej Ruszczynski, Rutgers Business School
Risk-Averse Optimization and Control of Partially Observable Systems

10/23 Julie Swann, North Carolina State University
Engineering Modeling to Assist in Eradication of Guinea Worm

10/30 Gino Lim, University of Houston
Drone-Aided Healthcare Delivery for Patients with Chronic Diseases in Rural Areas and Uncertain Battery Duration

11/13 Hui Yang, Penn State University
Sensor-Based Modeling and Control of Nonlinear Dynamics for Advanced Manufacturing and Smart Health

1/15 Hosam Mahmoud, George Washington University
Node Degrees in a Random Network

1/22 Dorit S. Hochbaum, University of California, Berkeley
Combinatorial Optimization for Image Segmentation and Large Scale Data Mining 

1/29 Gary Cheng, Purdue University 
Translational Manufacturing for Nano-Engineering Structures with Superior Properties 

2/5 Harriet Nembhard, Oregon State University
Robotics, Sensors, and Systems to Advance Healthcare Delivery

2/12 Simge Küçükyavus, Northwestern University  
Risk-Averse Set Covering Problems

2/19 Javad Lavaei, University of California – Berkeley
Efficient Computational Methods for Nonlinear optimization, Data Analysis, and Learning Problems

2/26 Mark P. Van Oyen, University of Michigan - Ann Arbor
Opportunities for Healthcare Operations Engineering & How First Come First Served Scheduling May be Replaced 

3/5 Stan Uryasev, University of Florida
How to Supplement Risk Regulations to Avoid Industrial Catastrophes 

3/19 Kaibo Liu, University of Wisconsin-Madison 
Big Data Analytics for Real-Time Complex System Monitoring and Prognostics 

3/26 Maryam Fazel, University of Washington 
The Many faces of Regularization: From Signal Recovery to Online Algorithms  Functional Data Analytics for Detecting Bursts in Water Distribution Systems 

4/9 Erick Delage, HEC Montreal 
Preference Robust Utility-Based Shortfall Risk Minimization

4/16 Ebru K. Bish, Virginia Tech Public Health Screening: Models, Algorithms, and Policies

4/23 Chi Zhou, University of Buffalo-The State University of New York Additive Manufacturing of Multiscale, Multifunctional Structures